Choosing the right algorithm for the right task - Zwijnaarde - Past
In this session, the following questions will be answered:
Master Class Sessions ‘Data-driven Innovation Beyond the Hype’
Data-driven innovation aims to support business opportunities enabled by exploiting and leveraging diverse industrial and business data sources. While a lot of attention is currently given to examples by major internet companies (e.g., Google, Amazon, Facebook), data science can also be very valuable to innovate within other research and industrial domains and within SMEs, e.g., to derive insights from experimental data, to profile products and customers, to optimize production processes, to predict the failure of machines, or even to build data-centered startups.
The Master Class Sessions are of interest to everyone who needs to translate business opportunities into solvable technological problems, who wants to explore the new opportunities that are generated by the increasingly available stream of data, or who needs to steer or participate in a team of data scientists. Each of these sessions can be followed independently of one another. All the theoretical data knowledge is illustrated by actual industrial cases from current Data Innovation projects at Sirris.
The course schedule is regularly updated with sessions on additional topics.
Each of the sessions can be followed independently of one another.
Pricing:
The course notes are included in the registration price.
If you are a Flemish SME you can also make use of the SME portfolio. For more information, please visit http://www.kmo-portefeuille.be or contact us (caroline.mair@sirris.be).
EluciDATA core user group members benefit from a discount on the subscription fee (50% for demonstrator ambassadors/committed technology experts, 25% for engaged advisors, and 10% for the satellite interest group).
Each of the sessions starts at 13:00 and ends at 17:30. The sessions are organized at one of the Sirris sites (indicated per session). Each of the locations is easily reachable, and provides sufficient parking possibility. Route descriptions per site can be found on http://www.sirris.be/contact.
Our general terms and conditions for the trainings:
Any cancellation has to be made by e-mail (caroline.mair@sirris.be). If the cancellation is made less than 3 business days before the start of the session which you will attend, 50% of the participation fee will be charged (+VAT). After this deadline, the full amount of the registration will be due. In case of "no-show" the full amount of the registration fee is due too. Replacement by a colleague is always possible if notified by e-mail to caroline.mair@sirris.be
To be announced soon on this website.
In this session, the following questions will be answered:
This session will focus on:
What are features and why is feature engineering the most creative and time-consuming data science activity?
What are typical feature engineering approaches for different types of data, such as time-series data, event log data, geographical data, etc?
This session focuses on: